{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ek7OfpzzequS"
   },
   "source": [
    "# **载入google drive**\n",
    "这一步可以不执行"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 24829,
     "status": "ok",
     "timestamp": 1720851367409,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "AuQuqGP4tINW",
    "outputId": "c3d782a3-d0bf-49d3-9a41-e783fa0cd883"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mounted at /content/drive\n"
     ]
    }
   ],
   "source": [
    "from google.colab import drive\n",
    "drive.mount('/content/drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 452,
     "status": "ok",
     "timestamp": 1720852390594,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "xUf66N7lvGvS",
    "outputId": "c11d93b5-9df6-442d-ee0d-25c9b981b948"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/drive/MyDrive/Colab Notebooks/AFNO\n"
     ]
    }
   ],
   "source": [
    "!pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 500,
     "status": "ok",
     "timestamp": 1720851436689,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "jEWrPa9AvJEL",
    "outputId": "002bb228-569f-4b43-f3bf-795238ecad0a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "当前工作目录是: /content/drive/MyDrive/Colab Notebooks\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "target_directory = 'drive/MyDrive/Colab Notebooks'\n",
    "os.chdir(target_directory)\n",
    "print(\"当前工作目录是:\", os.getcwd())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SqRGNIxYlTr7"
   },
   "source": [
    "# **官方版本数据导入**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yHcQ9wurwwFX"
   },
   "source": [
    "赛道一"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "collapsed": true,
    "executionInfo": {
     "elapsed": 82228,
     "status": "ok",
     "timestamp": 1720765083865,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "oL_v8aw8lZ72",
    "outputId": "2fd464ba-e35f-423a-f157-5b20a5f71e3f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2024-07-12 06:16:43--  https://drive.usercontent.google.com/download?id=1JwR0Q1ArTg6c47EF2ZuIBpQwCPgXKrO2&export=download&authuser=0&confirm=t&uuid=dc3aa13c-c3a9-458f-983a-8586798cb635&at=APZUnTX25XMxi-z-3wBcgR93IGsL%3A1719235792953\n",
      "Resolving drive.usercontent.google.com (drive.usercontent.google.com)... 142.251.12.132, 2404:6800:4003:c11::84\n",
      "Connecting to drive.usercontent.google.com (drive.usercontent.google.com)|142.251.12.132|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 1084182095 (1.0G) [application/octet-stream]\n",
      "Saving to: ‘Dataset.zip’\n",
      "\n",
      "Dataset.zip         100%[===================>]   1.01G  27.5MB/s    in 45s     \n",
      "\n",
      "2024-07-12 06:17:30 (23.0 MB/s) - ‘Dataset.zip’ saved [1084182095/1084182095]\n",
      "\n",
      "Archive:  Dataset.zip\n",
      "   creating: Dataset/\n",
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      "  inflating: Dataset/Training_data/train_pressure_min_std.txt  \n",
      "  inflating: Dataset/Training_data/watertight_global_bounds.txt  \n",
      "  inflating: Dataset/Training_data/watertight_meshes.txt  \n"
     ]
    }
   ],
   "source": [
    "####下载Dataset.zip\n",
    "!wget --header=\"Host: drive.usercontent.google.com\" --header=\"User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36\" --header=\"Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7\" --header=\"Accept-Language: zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6\" --header=\"Cookie: __Secure-ENID=12.SE=Yd0Bj-CLJ14fnd4qzdJHmwUs4B5zz46UaPC1cPJigNqqFV9PtM2CYyBpSbCkOyzUwzlEdZ1nZFf-igtGi7wSdJ_gqQSfQfh84r9egqFQAy9-GKayCRbdQKdera-2mkpuIT-c64CyR9vfNojM3hxZ9Dej-dGvtxlGjal9ttEHybw; __gsas=ID=ae0421b9a34b478c:T=1710758437:RT=1710758437:S=ALNI_MZP13R9ZOHbCzC0rgHSMrGXj6GCsg; HSID=A-4I-ZudDNUIB6EKH; SSID=A7v_1v9un6xAwVNku; APISID=ctK8IbLjeuDUmgys/AFnMSLWt9KddceDI6; SAPISID=J7GhTwED67EBqJJT/A9nwK7mr0ijGPw08r; __Secure-1PAPISID=J7GhTwED67EBqJJT/A9nwK7mr0ijGPw08r; __Secure-3PAPISID=J7GhTwED67EBqJJT/A9nwK7mr0ijGPw08r; SID=g.a000kgiBabgKCiCYKve9zfoWVgz9eu8sBA6N4XDPPpP5pcW16_C_kzuBV1TvOhAIC8VF1e9fpgACgYKATQSARQSFQHGX2Mi8LXUwWoIwNCEPU8Sy3mXUxoVAUF8yKqGXVfjTGz9gQal7nwGr4Pl0076; __Secure-1PSID=g.a000kgiBabgKCiCYKve9zfoWVgz9eu8sBA6N4XDPPpP5pcW16_C_PDa-DzVmbdGFPyxMQpk9_QACgYKAewSARQSFQHGX2MiAeee4fn0OWglWZfAygqkyBoVAUF8yKp-Sfmtnueimxc-0QbJRF9I0076; __Secure-3PSID=g.a000kgiBabgKCiCYKve9zfoWVgz9eu8sBA6N4XDPPpP5pcW16_C_g9IrMeU98APBo9Stp6wEnAACgYKAQASARQSFQHGX2MiFWtc9ucONXnpxBzlRdudEhoVAUF8yKoeZwCpJDnjfAFjGssHSUGm0076; NID=515=GQhY9nKKFCx3qFDjE0MA4ubjWNdef6xCIY_RfWOPWKEtyfBN3nAUl8WHI2VczjNQ4rVkj1XBAY8WNWHXyqSK10CfT4FxsFlPzrHIJpeTtm1nWRNBd9AAfBKJHz4XpESszntVUTE_59RklZuKo0vk1poReVi2da1PZKC3CTKH2Ll3gB5xuB9wf4bmq8ylVUuIROPJczr0XnCuUHV3qLdBvgy9_870b6UwOq1iOlIxFQFm01EZ4pqF4q1Ub3QRSWpEMLh4LSZFpJ5O255R5OV7krmEdDvH_sHoTEPZAg2PoEpwAyGK6Xp9qcLIlldgx5-5V86N8Wtb93uTlQuA_CFXb5_2eP3bgeX8txwlJ5SrldVjg9ctzYtBU2RwJKTSvdHfIG7lpOkg6XlkvDOcJpR3DihT_OlqnPn7drCAJpvVDv29hZn5XPMXaSrNdbG64OJ9urJEw5odEwsLYkkpC1vmlUcuoo52S5f6RQu0Z8kZiV8iRW6XIqHsSmQHunVaxk6xWCStUg; __Secure-1PSIDTS=sidts-CjEB3EgAEtTS0OazynCofIH4RCBstiRP5flEcvYW3z4Fg9oGd5QOESDOZt1wO2iqUYHjEAA; __Secure-3PSIDTS=sidts-CjEB3EgAEtTS0OazynCofIH4RCBstiRP5flEcvYW3z4Fg9oGd5QOESDOZt1wO2iqUYHjEAA; SIDCC=AKEyXzVI6aMX8lSDja86Yts3FBAtBzPCzVNgaX5BCz78NWsWzlT3yFWKUV7ZE46SFzE1GiBI-cHdTw; __Secure-1PSIDCC=AKEyXzUo4NQAwqqPMxP2eye-MFEbZmBIm_sZqRU1amttg0YoQkc8ZKSNXdHl5jNCMEbhrUHhS9-K; __Secure-3PSIDCC=AKEyXzWf2lIdmDLeZKpXSi9GytVQb6XudrYiNUBA5gW952YuLh8kL6T3IbBlu8zOTfGEcdUp5O1R\" --header=\"Connection: keep-alive\" \"https://drive.usercontent.google.com/download?id=1JwR0Q1ArTg6c47EF2ZuIBpQwCPgXKrO2&export=download&authuser=0&confirm=t&uuid=dc3aa13c-c3a9-458f-983a-8586798cb635&at=APZUnTX25XMxi-z-3wBcgR93IGsL%3A1719235792953\" -c -O 'Dataset.zip'\n",
    "####解压Dataset.zip\n",
    "!unzip Dataset.zip\n",
    "####删除Dataset.zip\n",
    "!rm Dataset.zip\n",
    "####重命名Training_data文件名\n",
    "!mv Dataset/Training_data Dataset/Trainset_track_A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "executionInfo": {
     "elapsed": 3700,
     "status": "ok",
     "timestamp": 1720852407566,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "6Ajriac7yWPH"
   },
   "outputs": [],
   "source": [
    "!mv ../Dataset/Trainset_track_A/Label/* ../Dataset/Trainset_track_A/Feature/* ../Dataset/Trainset_track_A/\n",
    "!rmdir ../Dataset/Trainset_track_A/Label ../Dataset/Trainset_track_A/Feature"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "J6DqAplSlOd1"
   },
   "source": [
    "# **额外数据导入**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2RNGoSyovQpc"
   },
   "source": [
    "导入赛道一额外数据\n",
    "\n",
    "数据下载链接：https://drive.google.com/file/d/1Vb740MGw7dMN943bRTNvy_f_qFMB9sjX/view?usp=sharing\n",
    "\n",
    "论文：Li, Zongyi, et al. \"Geometry-informed neural operator for large-scale 3d pdes.\" Advances in Neural Information Processing Systems 36 (2024).\n",
    "\n",
    "说明：原始论文数据含798个样本，比赛官方抽取了其中500个作为训练集，50个作为测试集，我们排除了这550个数据，使用剩下的248个样本作为额外数据，未踩到测试集，筛选过程见“filter.py”文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 22496,
     "status": "ok",
     "timestamp": 1720851587693,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "De2aJjkzlM2k",
    "outputId": "7eac3a8b-87e9-44c3-d0d8-ff008d302165"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1PJ2xDp0sDB0NgFJXUwWLEknCt2BgvDbP\n",
      "To: /content/drive/MyDrive/Colab Notebooks/Extra_TrackA_data.zip\n",
      "100%|██████████| 20.3M/20.3M [00:00<00:00, 154MB/s]\n"
     ]
    }
   ],
   "source": [
    "import gdown\n",
    "import os\n",
    "import tarfile\n",
    "\n",
    "###################### extra data for track A ######################\n",
    "file_id = '1PJ2xDp0sDB0NgFJXUwWLEknCt2BgvDbP' # 文件ID\n",
    "destination = 'Extra_TrackA_data.zip' # 文件下载路径\n",
    "download_url = f'https://drive.google.com/uc?id={file_id}' # 构建下载URL\n",
    "if not os.path.exists(destination):\n",
    "  gdown.download(download_url, destination, quiet=False) # 下载文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "collapsed": true,
    "executionInfo": {
     "elapsed": 6340,
     "status": "ok",
     "timestamp": 1720851724680,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "tZRuUMtu4Cji",
    "outputId": "76250ad1-a2e2-43dc-ae23-2cfd2ac60ec9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "  inflating: Dataset/Extra_Trainset_track_A/press_798.npy  \n"
     ]
    }
   ],
   "source": [
    "!unzip -j Extra_TrackA_data.zip -d Dataset/Extra_Trainset_track_A"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_a6z3N4he7zl"
   },
   "source": [
    "# **安装包**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 430,
     "status": "ok",
     "timestamp": 1720851759360,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "VbXn9Hct43Fm",
    "outputId": "5788e638-736e-4800-9bd2-ac7c3586d5d6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/drive/MyDrive/Colab Notebooks\n"
     ]
    }
   ],
   "source": [
    "!pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 426,
     "status": "ok",
     "timestamp": 1720851774639,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "JTNDQI1pu5Do",
    "outputId": "9f827f95-f726-4fd3-cfc5-79ac455571df"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "当前工作目录是: /content/drive/MyDrive/Colab Notebooks/AFNO\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "target_directory = 'AFNO'\n",
    "os.chdir(target_directory)\n",
    "####这里要确保工作目录在AFNO下\n",
    "print(\"当前工作目录是:\", os.getcwd())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "collapsed": true,
    "executionInfo": {
     "elapsed": 21754,
     "status": "ok",
     "timestamp": 1720851881970,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "nFuaNIEpudK-",
    "outputId": "7f225fc6-dcad-4301-f501-a0e2547331b5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: torch_geometric in /usr/local/lib/python3.10/dist-packages (2.5.3)\n",
      "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from torch_geometric) (4.66.4)\n",
      "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torch_geometric) (1.25.2)\n",
      "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from torch_geometric) (1.11.4)\n",
      "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch_geometric) (2023.6.0)\n",
      "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch_geometric) (3.1.4)\n",
      "Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from torch_geometric) (3.9.5)\n",
      "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from torch_geometric) (2.31.0)\n",
      "Requirement already satisfied: pyparsing in /usr/local/lib/python3.10/dist-packages (from torch_geometric) (3.1.2)\n",
      "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from torch_geometric) (1.2.2)\n",
      "Requirement already satisfied: psutil>=5.8.0 in /usr/local/lib/python3.10/dist-packages (from torch_geometric) (5.9.5)\n",
      "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->torch_geometric) (1.3.1)\n",
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      "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch_geometric) (2.1.5)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->torch_geometric) (3.3.2)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->torch_geometric) (3.7)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->torch_geometric) (2.0.7)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->torch_geometric) (2024.7.4)\n",
      "Requirement already satisfied: joblib>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->torch_geometric) (1.4.2)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->torch_geometric) (3.5.0)\n",
      "Collecting vtk\n",
      "  Downloading vtk-9.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (92.1 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.1/92.1 MB\u001b[0m \u001b[31m9.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: matplotlib>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from vtk) (3.7.1)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.0.0->vtk) (1.2.1)\n",
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      "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.0.0->vtk) (1.4.5)\n",
      "Requirement already satisfied: numpy>=1.20 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.0.0->vtk) (1.25.2)\n",
      "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.0.0->vtk) (24.1)\n",
      "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.0.0->vtk) (9.4.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.0.0->vtk) (3.1.2)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=2.0.0->vtk) (2.8.2)\n",
      "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib>=2.0.0->vtk) (1.16.0)\n",
      "Installing collected packages: vtk\n",
      "Successfully installed vtk-9.3.1\n"
     ]
    }
   ],
   "source": [
    "!pip install torch_geometric\n",
    "!pip install vtk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 9354,
     "status": "ok",
     "timestamp": 1720851909871,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "4tOQUyz4xAj3",
    "outputId": "8ff53f3c-7df8-42b5-d514-17080a3e2528"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting meshio\n",
      "  Downloading meshio-5.3.5-py3-none-any.whl (166 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m166.2/166.2 kB\u001b[0m \u001b[31m4.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: numpy>=1.20.0 in /usr/local/lib/python3.10/dist-packages (from meshio) (1.25.2)\n",
      "Requirement already satisfied: rich in /usr/local/lib/python3.10/dist-packages (from meshio) (13.7.1)\n",
      "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->meshio) (3.0.0)\n",
      "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->meshio) (2.16.1)\n",
      "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->meshio) (0.1.2)\n",
      "Installing collected packages: meshio\n",
      "Successfully installed meshio-5.3.5\n"
     ]
    }
   ],
   "source": [
    "!pip install meshio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "collapsed": true,
    "executionInfo": {
     "elapsed": 84640,
     "status": "ok",
     "timestamp": 1720852889892,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "92CNpMgq0doX",
    "outputId": "28efd3c1-0d3e-407e-d1c3-2cb591e31fea"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting timm\n",
      "  Downloading timm-1.0.7-py3-none-any.whl (2.3 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.3/2.3 MB\u001b[0m \u001b[31m11.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from timm) (2.3.0+cu121)\n",
      "Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (from timm) (0.18.0+cu121)\n",
      "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from timm) (6.0.1)\n",
      "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.10/dist-packages (from timm) (0.23.4)\n",
      "Requirement already satisfied: safetensors in /usr/local/lib/python3.10/dist-packages (from timm) (0.4.3)\n",
      "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface_hub->timm) (3.15.4)\n",
      "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub->timm) (2023.6.0)\n",
      "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub->timm) (24.1)\n",
      "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface_hub->timm) (2.31.0)\n",
      "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub->timm) (4.66.4)\n",
      "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub->timm) (4.12.2)\n",
      "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch->timm) (1.13.0)\n",
      "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->timm) (3.3)\n",
      "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch->timm) (3.1.4)\n",
      "Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch->timm)\n",
      "  Using cached nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)\n",
      "Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch->timm)\n",
      "  Using cached nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)\n",
      "Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch->timm)\n",
      "  Using cached nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)\n",
      "Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch->timm)\n",
      "  Using cached nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)\n",
      "Collecting nvidia-cublas-cu12==12.1.3.1 (from torch->timm)\n",
      "  Using cached nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)\n",
      "Collecting nvidia-cufft-cu12==11.0.2.54 (from torch->timm)\n",
      "  Using cached nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)\n",
      "Collecting nvidia-curand-cu12==10.3.2.106 (from torch->timm)\n",
      "  Using cached nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)\n",
      "Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch->timm)\n",
      "  Using cached nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)\n",
      "Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch->timm)\n",
      "  Using cached nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)\n",
      "Collecting nvidia-nccl-cu12==2.20.5 (from torch->timm)\n",
      "  Using cached nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)\n",
      "Collecting nvidia-nvtx-cu12==12.1.105 (from torch->timm)\n",
      "  Using cached nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)\n",
      "Requirement already satisfied: triton==2.3.0 in /usr/local/lib/python3.10/dist-packages (from torch->timm) (2.3.0)\n",
      "Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch->timm)\n",
      "  Downloading nvidia_nvjitlink_cu12-12.5.82-py3-none-manylinux2014_x86_64.whl (21.3 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.3/21.3 MB\u001b[0m \u001b[31m39.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torchvision->timm) (1.25.2)\n",
      "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/dist-packages (from torchvision->timm) (9.4.0)\n",
      "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch->timm) (2.1.5)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub->timm) (3.3.2)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub->timm) (3.7)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub->timm) (2.0.7)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub->timm) (2024.7.4)\n",
      "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->timm) (1.3.0)\n",
      "Installing collected packages: nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12, timm\n",
      "Successfully installed nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.5.82 nvidia-nvtx-cu12-12.1.105 timm-1.0.7\n"
     ]
    }
   ],
   "source": [
    "!pip install timm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 7360,
     "status": "ok",
     "timestamp": 1720852957838,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "8CIdlVZs1A4d",
    "outputId": "ac4ebc98-d66e-4823-e520-8db371085cde"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting einops\n",
      "  Downloading einops-0.8.0-py3-none-any.whl (43 kB)\n",
      "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/43.2 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m43.2/43.2 kB\u001b[0m \u001b[31m1.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hInstalling collected packages: einops\n",
      "Successfully installed einops-0.8.0\n"
     ]
    }
   ],
   "source": [
    "!pip install einops"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pRCQC1ILfBR7"
   },
   "source": [
    "# **模型训练**\n",
    "\n",
    "运行前请确保工作目录在AFNO下"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "executionInfo": {
     "elapsed": 435,
     "status": "ok",
     "timestamp": 1720852923193,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "6TZ6_vLitf6N"
   },
   "outputs": [],
   "source": [
    "import train\n",
    "import os\n",
    "import torch\n",
    "import argparse\n",
    "from dataset1 import GraphDataset, read_data_trackA\n",
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 435,
     "status": "ok",
     "timestamp": 1720853070031,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "uUY5cZhouxTz",
    "outputId": "6813f93f-249c-4b73-bb7c-fe874f8852f8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Namespace(train_data_dir='../Dataset/Trainset_track_A', test_data_dir='../Dataset/Testset_track_A/Inference', extra_data_dir='../Dataset/Extra_Trainset_track_A', info_dir='../Dataset/Trainset_track_A', fold_id=0, gpu=0, val_iter=10, cfd_model='TransAFNO', cfd_mesh=True, r=0.2, weight=0.5, lr=0.001, batch_size=1, nb_epochs=1000)\n"
     ]
    }
   ],
   "source": [
    "sys.argv = [\n",
    "    'script.py',\n",
    "    '--train_data_dir', '../Dataset/Trainset_track_A',\n",
    "    '--test_data_dir', '../Dataset/Testset_track_A/Inference',\n",
    "]\n",
    "parser = argparse.ArgumentParser()\n",
    "parser.add_argument('--train_data_dir', default='../Dataset/Trainset_track_A')\n",
    "parser.add_argument('--test_data_dir', default='../Dataset/Testset_track_A/Inference')\n",
    "parser.add_argument('--extra_data_dir', default='../Dataset/Extra_Trainset_track_A')\n",
    "parser.add_argument('--info_dir', default='../Dataset/Trainset_track_A')\n",
    "parser.add_argument('--fold_id', default=0, type=int)\n",
    "parser.add_argument('--gpu', default=0, type=int)\n",
    "parser.add_argument('--val_iter', default=10, type=int)\n",
    "parser.add_argument('--cfd_model', default='TransAFNO')\n",
    "parser.add_argument('--cfd_mesh', default=True)\n",
    "parser.add_argument('--r', default=0.2, type=float)\n",
    "parser.add_argument('--weight', default=0.5, type=float)\n",
    "parser.add_argument('--lr', default=0.001, type=float)\n",
    "parser.add_argument('--batch_size', default=1, type=float)\n",
    "parser.add_argument('--nb_epochs', default=1000, type=float)\n",
    "args = parser.parse_args()\n",
    "print(args)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "executionInfo": {
     "elapsed": 397,
     "status": "ok",
     "timestamp": 1720852430876,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "4pVmLWxkv9Ul"
   },
   "outputs": [],
   "source": [
    "hparams = {'lr': args.lr, 'batch_size': args.batch_size, 'nb_epochs': args.nb_epochs}\n",
    "\n",
    "n_gpu = torch.cuda.device_count()\n",
    "use_cuda = 0 <= args.gpu < n_gpu and torch.cuda.is_available()\n",
    "device = torch.device(f'cuda:{args.gpu}' if use_cuda else 'cpu')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "collapsed": true,
    "executionInfo": {
     "elapsed": 18995,
     "status": "ok",
     "timestamp": 1720852768724,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "y_G_hMtpwUMp",
    "outputId": "dc8cbe26-af93-44ec-a81d-e30b156b453f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../Dataset/Trainset_track_A/press_023.npy ../Dataset/Trainset_track_A/mesh_023.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_001.npy ../Dataset/Trainset_track_A/mesh_001.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_021.npy ../Dataset/Trainset_track_A/mesh_021.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_031.npy ../Dataset/Trainset_track_A/mesh_031.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_012.npy ../Dataset/Trainset_track_A/mesh_012.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_005.npy ../Dataset/Trainset_track_A/mesh_005.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_027.npy ../Dataset/Trainset_track_A/mesh_027.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_043.npy ../Dataset/Trainset_track_A/mesh_043.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_035.npy ../Dataset/Trainset_track_A/mesh_035.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_046.npy ../Dataset/Trainset_track_A/mesh_046.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_008.npy ../Dataset/Trainset_track_A/mesh_008.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_007.npy ../Dataset/Trainset_track_A/mesh_007.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_022.npy ../Dataset/Trainset_track_A/mesh_022.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_044.npy ../Dataset/Trainset_track_A/mesh_044.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_010.npy ../Dataset/Trainset_track_A/mesh_010.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_056.npy ../Dataset/Trainset_track_A/mesh_056.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_040.npy ../Dataset/Trainset_track_A/mesh_040.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_030.npy ../Dataset/Trainset_track_A/mesh_030.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_013.npy ../Dataset/Trainset_track_A/mesh_013.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_034.npy ../Dataset/Trainset_track_A/mesh_034.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_006.npy ../Dataset/Trainset_track_A/mesh_006.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_026.npy ../Dataset/Trainset_track_A/mesh_026.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_050.npy ../Dataset/Trainset_track_A/mesh_050.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_017.npy ../Dataset/Trainset_track_A/mesh_017.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_054.npy ../Dataset/Trainset_track_A/mesh_054.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_039.npy ../Dataset/Trainset_track_A/mesh_039.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_052.npy ../Dataset/Trainset_track_A/mesh_052.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_049.npy ../Dataset/Trainset_track_A/mesh_049.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_055.npy ../Dataset/Trainset_track_A/mesh_055.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_018.npy ../Dataset/Trainset_track_A/mesh_018.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_058.npy ../Dataset/Trainset_track_A/mesh_058.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_004.npy ../Dataset/Trainset_track_A/mesh_004.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_002.npy ../Dataset/Trainset_track_A/mesh_002.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_048.npy ../Dataset/Trainset_track_A/mesh_048.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_045.npy ../Dataset/Trainset_track_A/mesh_045.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_051.npy ../Dataset/Trainset_track_A/mesh_051.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_028.npy ../Dataset/Trainset_track_A/mesh_028.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_025.npy ../Dataset/Trainset_track_A/mesh_025.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_047.npy ../Dataset/Trainset_track_A/mesh_047.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_032.npy ../Dataset/Trainset_track_A/mesh_032.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_029.npy ../Dataset/Trainset_track_A/mesh_029.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_071.npy ../Dataset/Trainset_track_A/mesh_071.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_163.npy ../Dataset/Trainset_track_A/mesh_163.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_193.npy ../Dataset/Trainset_track_A/mesh_193.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_106.npy ../Dataset/Trainset_track_A/mesh_106.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_147.npy ../Dataset/Trainset_track_A/mesh_147.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_228.npy ../Dataset/Trainset_track_A/mesh_228.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_199.npy ../Dataset/Trainset_track_A/mesh_199.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_237.npy ../Dataset/Trainset_track_A/mesh_237.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_191.npy ../Dataset/Trainset_track_A/mesh_191.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_075.npy ../Dataset/Trainset_track_A/mesh_075.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_100.npy ../Dataset/Trainset_track_A/mesh_100.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_229.npy ../Dataset/Trainset_track_A/mesh_229.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_092.npy ../Dataset/Trainset_track_A/mesh_092.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_133.npy ../Dataset/Trainset_track_A/mesh_133.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_170.npy ../Dataset/Trainset_track_A/mesh_170.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_285.npy ../Dataset/Trainset_track_A/mesh_285.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_252.npy ../Dataset/Trainset_track_A/mesh_252.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_241.npy ../Dataset/Trainset_track_A/mesh_241.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_152.npy ../Dataset/Trainset_track_A/mesh_152.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_246.npy ../Dataset/Trainset_track_A/mesh_246.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_097.npy ../Dataset/Trainset_track_A/mesh_097.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_160.npy ../Dataset/Trainset_track_A/mesh_160.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_184.npy ../Dataset/Trainset_track_A/mesh_184.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_088.npy ../Dataset/Trainset_track_A/mesh_088.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_126.npy ../Dataset/Trainset_track_A/mesh_126.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_101.npy ../Dataset/Trainset_track_A/mesh_101.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_109.npy ../Dataset/Trainset_track_A/mesh_109.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_139.npy ../Dataset/Trainset_track_A/mesh_139.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_084.npy ../Dataset/Trainset_track_A/mesh_084.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_205.npy ../Dataset/Trainset_track_A/mesh_205.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_286.npy ../Dataset/Trainset_track_A/mesh_286.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_137.npy ../Dataset/Trainset_track_A/mesh_137.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_117.npy ../Dataset/Trainset_track_A/mesh_117.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_095.npy ../Dataset/Trainset_track_A/mesh_095.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_260.npy ../Dataset/Trainset_track_A/mesh_260.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_063.npy ../Dataset/Trainset_track_A/mesh_063.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_083.npy ../Dataset/Trainset_track_A/mesh_083.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_148.npy ../Dataset/Trainset_track_A/mesh_148.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_179.npy ../Dataset/Trainset_track_A/mesh_179.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_192.npy ../Dataset/Trainset_track_A/mesh_192.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_227.npy ../Dataset/Trainset_track_A/mesh_227.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_131.npy ../Dataset/Trainset_track_A/mesh_131.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_257.npy ../Dataset/Trainset_track_A/mesh_257.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_280.npy ../Dataset/Trainset_track_A/mesh_280.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_107.npy ../Dataset/Trainset_track_A/mesh_107.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_207.npy ../Dataset/Trainset_track_A/mesh_207.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_081.npy ../Dataset/Trainset_track_A/mesh_081.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_141.npy ../Dataset/Trainset_track_A/mesh_141.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_278.npy ../Dataset/Trainset_track_A/mesh_278.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_222.npy ../Dataset/Trainset_track_A/mesh_222.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_234.npy ../Dataset/Trainset_track_A/mesh_234.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_266.npy ../Dataset/Trainset_track_A/mesh_266.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_153.npy ../Dataset/Trainset_track_A/mesh_153.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_136.npy ../Dataset/Trainset_track_A/mesh_136.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_253.npy ../Dataset/Trainset_track_A/mesh_253.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_161.npy ../Dataset/Trainset_track_A/mesh_161.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_073.npy ../Dataset/Trainset_track_A/mesh_073.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_116.npy ../Dataset/Trainset_track_A/mesh_116.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_123.npy ../Dataset/Trainset_track_A/mesh_123.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_273.npy ../Dataset/Trainset_track_A/mesh_273.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_223.npy ../Dataset/Trainset_track_A/mesh_223.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_145.npy ../Dataset/Trainset_track_A/mesh_145.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_277.npy ../Dataset/Trainset_track_A/mesh_277.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_267.npy ../Dataset/Trainset_track_A/mesh_267.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_091.npy ../Dataset/Trainset_track_A/mesh_091.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_225.npy ../Dataset/Trainset_track_A/mesh_225.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_105.npy ../Dataset/Trainset_track_A/mesh_105.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_215.npy ../Dataset/Trainset_track_A/mesh_215.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_198.npy ../Dataset/Trainset_track_A/mesh_198.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_142.npy ../Dataset/Trainset_track_A/mesh_142.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_061.npy ../Dataset/Trainset_track_A/mesh_061.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_070.npy ../Dataset/Trainset_track_A/mesh_070.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_232.npy ../Dataset/Trainset_track_A/mesh_232.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_201.npy ../Dataset/Trainset_track_A/mesh_201.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_274.npy ../Dataset/Trainset_track_A/mesh_274.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_085.npy ../Dataset/Trainset_track_A/mesh_085.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_283.npy ../Dataset/Trainset_track_A/mesh_283.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_279.npy ../Dataset/Trainset_track_A/mesh_279.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_175.npy ../Dataset/Trainset_track_A/mesh_175.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_129.npy ../Dataset/Trainset_track_A/mesh_129.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_173.npy ../Dataset/Trainset_track_A/mesh_173.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_200.npy ../Dataset/Trainset_track_A/mesh_200.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_271.npy ../Dataset/Trainset_track_A/mesh_271.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_065.npy ../Dataset/Trainset_track_A/mesh_065.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_113.npy ../Dataset/Trainset_track_A/mesh_113.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_080.npy ../Dataset/Trainset_track_A/mesh_080.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_172.npy ../Dataset/Trainset_track_A/mesh_172.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_074.npy ../Dataset/Trainset_track_A/mesh_074.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_281.npy ../Dataset/Trainset_track_A/mesh_281.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_130.npy ../Dataset/Trainset_track_A/mesh_130.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_289.npy ../Dataset/Trainset_track_A/mesh_289.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_183.npy ../Dataset/Trainset_track_A/mesh_183.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_110.npy ../Dataset/Trainset_track_A/mesh_110.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_118.npy ../Dataset/Trainset_track_A/mesh_118.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_196.npy ../Dataset/Trainset_track_A/mesh_196.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_078.npy ../Dataset/Trainset_track_A/mesh_078.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_203.npy ../Dataset/Trainset_track_A/mesh_203.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_102.npy ../Dataset/Trainset_track_A/mesh_102.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_149.npy ../Dataset/Trainset_track_A/mesh_149.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_166.npy ../Dataset/Trainset_track_A/mesh_166.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_112.npy ../Dataset/Trainset_track_A/mesh_112.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_094.npy ../Dataset/Trainset_track_A/mesh_094.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_259.npy ../Dataset/Trainset_track_A/mesh_259.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_158.npy ../Dataset/Trainset_track_A/mesh_158.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_210.npy ../Dataset/Trainset_track_A/mesh_210.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_076.npy ../Dataset/Trainset_track_A/mesh_076.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_224.npy ../Dataset/Trainset_track_A/mesh_224.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_162.npy ../Dataset/Trainset_track_A/mesh_162.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_090.npy ../Dataset/Trainset_track_A/mesh_090.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_156.npy ../Dataset/Trainset_track_A/mesh_156.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_217.npy ../Dataset/Trainset_track_A/mesh_217.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_243.npy ../Dataset/Trainset_track_A/mesh_243.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_264.npy ../Dataset/Trainset_track_A/mesh_264.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_220.npy ../Dataset/Trainset_track_A/mesh_220.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_144.npy ../Dataset/Trainset_track_A/mesh_144.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_275.npy ../Dataset/Trainset_track_A/mesh_275.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_079.npy ../Dataset/Trainset_track_A/mesh_079.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_262.npy ../Dataset/Trainset_track_A/mesh_262.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_111.npy ../Dataset/Trainset_track_A/mesh_111.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_255.npy ../Dataset/Trainset_track_A/mesh_255.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_086.npy ../Dataset/Trainset_track_A/mesh_086.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_062.npy ../Dataset/Trainset_track_A/mesh_062.ply 3586 3586\n",
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      "../Dataset/Extra_Trainset_track_A/press_745.npy ../Dataset/Extra_Trainset_track_A/mesh_745.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_746.npy ../Dataset/Extra_Trainset_track_A/mesh_746.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_747.npy ../Dataset/Extra_Trainset_track_A/mesh_747.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_748.npy ../Dataset/Extra_Trainset_track_A/mesh_748.ply 3586 3586\n"
     ]
    }
   ],
   "source": [
    "train_data, val_data, test_data, coef_norm, val_index = read_data_trackA(args, norm=True)\n",
    "train_ds = GraphDataset(train_data, use_cfd_mesh=args.cfd_mesh, r=args.r)\n",
    "val_ds = GraphDataset(val_data, use_cfd_mesh=args.cfd_mesh, r=args.r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 336
    },
    "executionInfo": {
     "elapsed": 932,
     "status": "error",
     "timestamp": 1720852965720,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "tSOk5TKQwWHG",
    "outputId": "67064b3d-17f9-4a73-ff72-d76f85899ccc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "load TransAFNO\n"
     ]
    },
    {
     "ename": "RuntimeError",
     "evalue": "Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-41-9c7fc7a306d2>\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mmodels\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTransAFNO\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mModel\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mModel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn_hidden\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m128\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_layers\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mspace_dim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfun_dim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_head\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m8\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmlp_ratio\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mout_dim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mslice_num\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m32\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0munified_pos\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcuda\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36mcuda\u001b[0;34m(self, device)\u001b[0m\n\u001b[1;32m    913\u001b[0m             \u001b[0mModule\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    914\u001b[0m         \"\"\"\n\u001b[0;32m--> 915\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcuda\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    916\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    917\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mipu\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mT\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdevice\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdevice\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mT\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_apply\u001b[0;34m(self, fn, recurse)\u001b[0m\n\u001b[1;32m    777\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mrecurse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    778\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mmodule\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchildren\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 779\u001b[0;31m                 \u001b[0mmodule\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    780\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    781\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mcompute_should_use_set_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtensor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtensor_applied\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_apply\u001b[0;34m(self, fn, recurse)\u001b[0m\n\u001b[1;32m    777\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mrecurse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    778\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mmodule\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchildren\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 779\u001b[0;31m                 \u001b[0mmodule\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    780\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    781\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mcompute_should_use_set_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtensor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtensor_applied\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_apply\u001b[0;34m(self, fn, recurse)\u001b[0m\n\u001b[1;32m    777\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mrecurse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    778\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mmodule\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchildren\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 779\u001b[0;31m                 \u001b[0mmodule\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    780\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    781\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mcompute_should_use_set_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtensor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtensor_applied\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_apply\u001b[0;34m(self, fn, recurse)\u001b[0m\n\u001b[1;32m    802\u001b[0m             \u001b[0;31m# `with torch.no_grad():`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    803\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mno_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 804\u001b[0;31m                 \u001b[0mparam_applied\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparam\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    805\u001b[0m             \u001b[0mp_should_use_set_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompute_should_use_set_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparam\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparam_applied\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    806\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(t)\u001b[0m\n\u001b[1;32m    913\u001b[0m             \u001b[0mModule\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    914\u001b[0m         \"\"\"\n\u001b[0;32m--> 915\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcuda\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    916\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    917\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mipu\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mT\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdevice\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdevice\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mT\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/cuda/__init__.py\u001b[0m in \u001b[0;36m_lazy_init\u001b[0;34m()\u001b[0m\n\u001b[1;32m    291\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;34m\"CUDA_MODULE_LOADING\"\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menviron\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    292\u001b[0m             \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menviron\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"CUDA_MODULE_LOADING\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"LAZY\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 293\u001b[0;31m         \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_C\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_cuda_init\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    294\u001b[0m         \u001b[0;31m# Some of the queued calls may reentrantly call _lazy_init();\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    295\u001b[0m         \u001b[0;31m# we need to just return without initializing in that case.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mRuntimeError\u001b[0m: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx"
     ]
    }
   ],
   "source": [
    "from models.TransAFNO import Model\n",
    "model = Model(n_hidden=128, n_layers=4, space_dim=3, fun_dim=0, n_head=8, mlp_ratio=2, out_dim=1, slice_num=32, unified_pos=0).cuda()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "cbNVg6sxxrOp"
   },
   "outputs": [],
   "source": [
    "path = f'metrics/TrackA/{args.cfd_model}'\n",
    "if not os.path.exists(path):\n",
    "    os.makedirs(path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 245
    },
    "executionInfo": {
     "elapsed": 16415289,
     "status": "error",
     "timestamp": 1720786604302,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "AMeJpdjzbYWR",
    "outputId": "6041a76c-668b-4693-d37a-c3453c01b0a6"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  8%|▊         | 85/1000 [4:33:34<49:05:00, 193.12s/it, train_loss=0.203]\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-72-d972890cf89d>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrain_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mval_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcfd_hparams\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mval_iter\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mval_iter\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreg\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mweight\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcoef_norm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcoef_norm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfrozen\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrozen\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpretrainedMLP\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloadPretrainedMLP\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpretrainedMLPPath\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPretrainedMLPPath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/content/drive/MyDrive/Colab Notebooks/train.py\u001b[0m in \u001b[0;36mmain\u001b[0;34m(device, train_dataset, val_dataset, Net, hparams, path, reg, val_iter, coef_norm, frozen, pretrainedMLP, pretrainedMLPPath)\u001b[0m\n",
      "\u001b[0;32m/content/drive/MyDrive/Colab Notebooks/train.py\u001b[0m in \u001b[0;36mtrain\u001b[0;34m(device, model, train_loader, coef_norm, optimizer, scheduler, reg, frozen)\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "model = train.main(device, train_ds, val_ds, model, hparams, path, val_iter=args.val_iter, reg=args.weight,\n",
    "                   coef_norm=coef_norm)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Igh5PjGBeUVD"
   },
   "source": [
    "# **推理部分**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "4DmO0j-kgTBM"
   },
   "outputs": [],
   "source": [
    "import time\n",
    "import torch\n",
    "import argparse\n",
    "from dataset1 import GraphDataset, read_data_trackA\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 443,
     "status": "ok",
     "timestamp": 1720853081290,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "11xFFaEsfsZ_",
    "outputId": "0b99341a-b85d-46ea-e76f-58bea46dd4f5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Namespace(train_data_dir='../Dataset/Trainset_track_A', test_data_dir='../Dataset/Testset_track_A/Inference', extra_data_dir='../Dataset/Extra_Trainset_track_A', info_dir='../Dataset/Trainset_track_A', fold_id=0, gpu=0, val_iter=10, cfd_model='TransAFNO', cfd_mesh=True, r=0.2, weight=0.5, lr=0.001, batch_size=1, nb_epochs=1000)\n"
     ]
    }
   ],
   "source": [
    "sys.argv = [\n",
    "    'script.py',\n",
    "    '--train_data_dir', '../Dataset/Trainset_track_A',\n",
    "    '--test_data_dir', '../Dataset/Testset_track_A/Inference',\n",
    "]\n",
    "parser = argparse.ArgumentParser()\n",
    "parser.add_argument('--train_data_dir', default='../Dataset/Trainset_track_A')\n",
    "parser.add_argument('--test_data_dir', default='../Dataset/Testset_track_A/Inference')\n",
    "parser.add_argument('--extra_data_dir', default='../Dataset/Extra_Trainset_track_A')\n",
    "parser.add_argument('--info_dir', default='../Dataset/Trainset_track_A')\n",
    "parser.add_argument('--fold_id', default=0, type=int)\n",
    "parser.add_argument('--gpu', default=0, type=int)\n",
    "parser.add_argument('--val_iter', default=10, type=int)\n",
    "parser.add_argument('--cfd_model', default='TransAFNO')\n",
    "parser.add_argument('--cfd_mesh', default=True)\n",
    "parser.add_argument('--r', default=0.2, type=float)\n",
    "parser.add_argument('--weight', default=0.5, type=float)\n",
    "parser.add_argument('--lr', default=0.001, type=float)\n",
    "parser.add_argument('--batch_size', default=1, type=float)\n",
    "parser.add_argument('--nb_epochs', default=1000, type=float)\n",
    "args = parser.parse_args()\n",
    "print(args)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "collapsed": true,
    "executionInfo": {
     "elapsed": 12493,
     "status": "ok",
     "timestamp": 1720853125965,
     "user": {
      "displayName": "Yuanwei Bin",
      "userId": "04820485600131748919"
     },
     "user_tz": -480
    },
    "id": "rRCdDKrUf44x",
    "outputId": "362fda78-497d-4821-daa4-68f4c204bf5d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../Dataset/Trainset_track_A/press_023.npy ../Dataset/Trainset_track_A/mesh_023.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_001.npy ../Dataset/Trainset_track_A/mesh_001.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_021.npy ../Dataset/Trainset_track_A/mesh_021.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_031.npy ../Dataset/Trainset_track_A/mesh_031.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_012.npy ../Dataset/Trainset_track_A/mesh_012.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_005.npy ../Dataset/Trainset_track_A/mesh_005.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_027.npy ../Dataset/Trainset_track_A/mesh_027.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_043.npy ../Dataset/Trainset_track_A/mesh_043.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_035.npy ../Dataset/Trainset_track_A/mesh_035.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_046.npy ../Dataset/Trainset_track_A/mesh_046.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_008.npy ../Dataset/Trainset_track_A/mesh_008.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_007.npy ../Dataset/Trainset_track_A/mesh_007.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_022.npy ../Dataset/Trainset_track_A/mesh_022.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_044.npy ../Dataset/Trainset_track_A/mesh_044.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_010.npy ../Dataset/Trainset_track_A/mesh_010.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_056.npy ../Dataset/Trainset_track_A/mesh_056.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_040.npy ../Dataset/Trainset_track_A/mesh_040.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_030.npy ../Dataset/Trainset_track_A/mesh_030.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_013.npy ../Dataset/Trainset_track_A/mesh_013.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_034.npy ../Dataset/Trainset_track_A/mesh_034.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_006.npy ../Dataset/Trainset_track_A/mesh_006.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_026.npy ../Dataset/Trainset_track_A/mesh_026.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_050.npy ../Dataset/Trainset_track_A/mesh_050.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_017.npy ../Dataset/Trainset_track_A/mesh_017.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_054.npy ../Dataset/Trainset_track_A/mesh_054.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_039.npy ../Dataset/Trainset_track_A/mesh_039.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_052.npy ../Dataset/Trainset_track_A/mesh_052.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_049.npy ../Dataset/Trainset_track_A/mesh_049.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_055.npy ../Dataset/Trainset_track_A/mesh_055.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_018.npy ../Dataset/Trainset_track_A/mesh_018.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_058.npy ../Dataset/Trainset_track_A/mesh_058.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_004.npy ../Dataset/Trainset_track_A/mesh_004.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_002.npy ../Dataset/Trainset_track_A/mesh_002.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_048.npy ../Dataset/Trainset_track_A/mesh_048.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_045.npy ../Dataset/Trainset_track_A/mesh_045.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_051.npy ../Dataset/Trainset_track_A/mesh_051.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_028.npy ../Dataset/Trainset_track_A/mesh_028.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_025.npy ../Dataset/Trainset_track_A/mesh_025.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_047.npy ../Dataset/Trainset_track_A/mesh_047.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_032.npy ../Dataset/Trainset_track_A/mesh_032.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_029.npy ../Dataset/Trainset_track_A/mesh_029.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_071.npy ../Dataset/Trainset_track_A/mesh_071.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_163.npy ../Dataset/Trainset_track_A/mesh_163.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_193.npy ../Dataset/Trainset_track_A/mesh_193.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_106.npy ../Dataset/Trainset_track_A/mesh_106.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_147.npy ../Dataset/Trainset_track_A/mesh_147.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_228.npy ../Dataset/Trainset_track_A/mesh_228.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_199.npy ../Dataset/Trainset_track_A/mesh_199.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_237.npy ../Dataset/Trainset_track_A/mesh_237.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_191.npy ../Dataset/Trainset_track_A/mesh_191.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_075.npy ../Dataset/Trainset_track_A/mesh_075.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_100.npy ../Dataset/Trainset_track_A/mesh_100.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_229.npy ../Dataset/Trainset_track_A/mesh_229.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_092.npy ../Dataset/Trainset_track_A/mesh_092.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_133.npy ../Dataset/Trainset_track_A/mesh_133.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_170.npy ../Dataset/Trainset_track_A/mesh_170.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_285.npy ../Dataset/Trainset_track_A/mesh_285.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_252.npy ../Dataset/Trainset_track_A/mesh_252.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_241.npy ../Dataset/Trainset_track_A/mesh_241.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_152.npy ../Dataset/Trainset_track_A/mesh_152.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_246.npy ../Dataset/Trainset_track_A/mesh_246.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_097.npy ../Dataset/Trainset_track_A/mesh_097.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_160.npy ../Dataset/Trainset_track_A/mesh_160.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_184.npy ../Dataset/Trainset_track_A/mesh_184.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_088.npy ../Dataset/Trainset_track_A/mesh_088.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_126.npy ../Dataset/Trainset_track_A/mesh_126.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_101.npy ../Dataset/Trainset_track_A/mesh_101.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_109.npy ../Dataset/Trainset_track_A/mesh_109.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_139.npy ../Dataset/Trainset_track_A/mesh_139.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_084.npy ../Dataset/Trainset_track_A/mesh_084.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_205.npy ../Dataset/Trainset_track_A/mesh_205.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_286.npy ../Dataset/Trainset_track_A/mesh_286.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_137.npy ../Dataset/Trainset_track_A/mesh_137.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_117.npy ../Dataset/Trainset_track_A/mesh_117.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_095.npy ../Dataset/Trainset_track_A/mesh_095.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_260.npy ../Dataset/Trainset_track_A/mesh_260.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_063.npy ../Dataset/Trainset_track_A/mesh_063.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_083.npy ../Dataset/Trainset_track_A/mesh_083.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_148.npy ../Dataset/Trainset_track_A/mesh_148.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_179.npy ../Dataset/Trainset_track_A/mesh_179.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_192.npy ../Dataset/Trainset_track_A/mesh_192.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_227.npy ../Dataset/Trainset_track_A/mesh_227.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_131.npy ../Dataset/Trainset_track_A/mesh_131.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_257.npy ../Dataset/Trainset_track_A/mesh_257.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_280.npy ../Dataset/Trainset_track_A/mesh_280.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_107.npy ../Dataset/Trainset_track_A/mesh_107.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_207.npy ../Dataset/Trainset_track_A/mesh_207.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_081.npy ../Dataset/Trainset_track_A/mesh_081.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_141.npy ../Dataset/Trainset_track_A/mesh_141.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_278.npy ../Dataset/Trainset_track_A/mesh_278.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_222.npy ../Dataset/Trainset_track_A/mesh_222.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_234.npy ../Dataset/Trainset_track_A/mesh_234.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_266.npy ../Dataset/Trainset_track_A/mesh_266.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_153.npy ../Dataset/Trainset_track_A/mesh_153.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_136.npy ../Dataset/Trainset_track_A/mesh_136.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_253.npy ../Dataset/Trainset_track_A/mesh_253.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_161.npy ../Dataset/Trainset_track_A/mesh_161.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_073.npy ../Dataset/Trainset_track_A/mesh_073.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_116.npy ../Dataset/Trainset_track_A/mesh_116.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_123.npy ../Dataset/Trainset_track_A/mesh_123.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_273.npy ../Dataset/Trainset_track_A/mesh_273.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_223.npy ../Dataset/Trainset_track_A/mesh_223.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_145.npy ../Dataset/Trainset_track_A/mesh_145.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_277.npy ../Dataset/Trainset_track_A/mesh_277.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_267.npy ../Dataset/Trainset_track_A/mesh_267.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_091.npy ../Dataset/Trainset_track_A/mesh_091.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_225.npy ../Dataset/Trainset_track_A/mesh_225.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_105.npy ../Dataset/Trainset_track_A/mesh_105.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_215.npy ../Dataset/Trainset_track_A/mesh_215.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_198.npy ../Dataset/Trainset_track_A/mesh_198.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_142.npy ../Dataset/Trainset_track_A/mesh_142.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_061.npy ../Dataset/Trainset_track_A/mesh_061.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_070.npy ../Dataset/Trainset_track_A/mesh_070.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_232.npy ../Dataset/Trainset_track_A/mesh_232.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_201.npy ../Dataset/Trainset_track_A/mesh_201.ply 3586 3586\n",
      "../Dataset/Trainset_track_A/press_274.npy ../Dataset/Trainset_track_A/mesh_274.ply 3586 3586\n",
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      "../Dataset/Extra_Trainset_track_A/press_619.npy ../Dataset/Extra_Trainset_track_A/mesh_619.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_624.npy ../Dataset/Extra_Trainset_track_A/mesh_624.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_637.npy ../Dataset/Extra_Trainset_track_A/mesh_637.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_650.npy ../Dataset/Extra_Trainset_track_A/mesh_650.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_653.npy ../Dataset/Extra_Trainset_track_A/mesh_653.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_661.npy ../Dataset/Extra_Trainset_track_A/mesh_661.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_669.npy ../Dataset/Extra_Trainset_track_A/mesh_669.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_670.npy ../Dataset/Extra_Trainset_track_A/mesh_670.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_671.npy ../Dataset/Extra_Trainset_track_A/mesh_671.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_680.npy ../Dataset/Extra_Trainset_track_A/mesh_680.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_682.npy ../Dataset/Extra_Trainset_track_A/mesh_682.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_685.npy ../Dataset/Extra_Trainset_track_A/mesh_685.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_694.npy ../Dataset/Extra_Trainset_track_A/mesh_694.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_698.npy ../Dataset/Extra_Trainset_track_A/mesh_698.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_699.npy ../Dataset/Extra_Trainset_track_A/mesh_699.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_706.npy ../Dataset/Extra_Trainset_track_A/mesh_706.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_707.npy ../Dataset/Extra_Trainset_track_A/mesh_707.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_714.npy ../Dataset/Extra_Trainset_track_A/mesh_714.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_716.npy ../Dataset/Extra_Trainset_track_A/mesh_716.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_720.npy ../Dataset/Extra_Trainset_track_A/mesh_720.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_723.npy ../Dataset/Extra_Trainset_track_A/mesh_723.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_724.npy ../Dataset/Extra_Trainset_track_A/mesh_724.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_725.npy ../Dataset/Extra_Trainset_track_A/mesh_725.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_726.npy ../Dataset/Extra_Trainset_track_A/mesh_726.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_727.npy ../Dataset/Extra_Trainset_track_A/mesh_727.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_728.npy ../Dataset/Extra_Trainset_track_A/mesh_728.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_729.npy ../Dataset/Extra_Trainset_track_A/mesh_729.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_730.npy ../Dataset/Extra_Trainset_track_A/mesh_730.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_731.npy ../Dataset/Extra_Trainset_track_A/mesh_731.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_732.npy ../Dataset/Extra_Trainset_track_A/mesh_732.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_733.npy ../Dataset/Extra_Trainset_track_A/mesh_733.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_734.npy ../Dataset/Extra_Trainset_track_A/mesh_734.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_735.npy ../Dataset/Extra_Trainset_track_A/mesh_735.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_736.npy ../Dataset/Extra_Trainset_track_A/mesh_736.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_737.npy ../Dataset/Extra_Trainset_track_A/mesh_737.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_738.npy ../Dataset/Extra_Trainset_track_A/mesh_738.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_739.npy ../Dataset/Extra_Trainset_track_A/mesh_739.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_740.npy ../Dataset/Extra_Trainset_track_A/mesh_740.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_741.npy ../Dataset/Extra_Trainset_track_A/mesh_741.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_742.npy ../Dataset/Extra_Trainset_track_A/mesh_742.ply 3586 3682\n",
      "../Dataset/Extra_Trainset_track_A/press_743.npy ../Dataset/Extra_Trainset_track_A/mesh_743.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_744.npy ../Dataset/Extra_Trainset_track_A/mesh_744.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_745.npy ../Dataset/Extra_Trainset_track_A/mesh_745.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_746.npy ../Dataset/Extra_Trainset_track_A/mesh_746.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_747.npy ../Dataset/Extra_Trainset_track_A/mesh_747.ply 3586 3586\n",
      "../Dataset/Extra_Trainset_track_A/press_748.npy ../Dataset/Extra_Trainset_track_A/mesh_748.ply 3586 3586\n"
     ]
    }
   ],
   "source": [
    "#####载入数据\n",
    "train_data, val_data, test_data, coef_norm, test_index = read_data_trackA(args, norm=True)\n",
    "train_ds = GraphDataset(train_data, use_cfd_mesh=args.cfd_mesh, r=args.r)\n",
    "test_ds = GraphDataset(test_data, use_cfd_mesh=args.cfd_mesh, r=args.r)\n",
    "val_ds = GraphDataset(val_data, use_cfd_mesh=args.cfd_mesh, r=args.r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "TqRlH-dufJR7"
   },
   "outputs": [],
   "source": [
    "path = f'metrics/model_0.06945223153666975.pth'\n",
    "model = torch.load(path).to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "ulRzSVAT7RD7"
   },
   "outputs": [],
   "source": [
    "#####模型推理\n",
    "model.eval()\n",
    "index = 0\n",
    "\n",
    "if not os.path.exists('../B_Results'):\n",
    "    os.makedirs('../B_Results')\n",
    "\n",
    "with torch.no_grad():\n",
    "    for cfd_data in test_ds:\n",
    "        cfd_data = cfd_data.to(device)\n",
    "        out = model(cfd_data)\n",
    "        if coef_norm is not None:\n",
    "            mean = torch.tensor(coef_norm[2]).to(device)\n",
    "            std = torch.tensor(coef_norm[3]).to(device)\n",
    "            pred_press = out * std[-1] + mean[-1]\n",
    "            np.save(f\"../B_Results/press_{test_index[index]}.npy\", pred_press.detach().cpu().numpy().squeeze())\n",
    "            index = index + 1\n",
    "\n",
    "npy_dir = '../B_Results'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "pbGNuQmG86E7"
   },
   "outputs": [],
   "source": [
    "!zip -r ../B_Results.zip ../B_Results"
   ]
  }
 ],
 "metadata": {
  "accelerator": "TPU",
  "colab": {
   "gpuType": "V28",
   "machine_shape": "hm",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "name": "python3"
  },
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
